Search for tag: "network"

Open Enrollment 2025

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From  Broadcast Broadcast Center Staff 0 likes 54 plays

Allen-Blanchette, Christine -"Learning the Rules of Self-Organization with Behavior-Inspired Neural Networks"

AI for Accelerating Invention, a new Princeton AI Lab initiative, integrates artificial intelligence into engineering research, developing new technologies and tools to accelerate the process of…

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ReMatch+ Intern - Michel Liao

Through Glasses: A Multi-Layer Transparent Segmentation Network Advised by: Jia Deng, Computer Science Erich Liang, Computer Science

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From  our Undergraduate Research 0 likes 17 plays

OURSIP Intern – Daniel Tan

Networked Interactions in Biomolecular Condensates Formed by Disordered Proteins Advised by:Prof. Jerelle A. Joseph, CBE Dr. Dilimulati "Morat" Aierken, CBE

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From  our Undergraduate Research 1 likes 4 plays

How the Internet is Evolving

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From  Broadcast Broadcast Center Staff 1 likes 184 plays

JPP06June2024_KHumbird

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PLI Symposium 2024: Boris Hanin

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Thinking About Pain, the Brain, and You, Toru Obunge, UG '24 (F39094D0)

There is growing research into psychological treatments for pain conditions, such as music therapy, cognitive-behavioural therapy (CBT), and mindfulness-based interventions. However, a unifying…

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From  Research Princeton Research Day 13 likes 52 plays

Analyzing How Neural Networks Manipulate the Shape of Data, Reuel Williams, UG '24 (9C22A282)

Understanding the mathematical shape of data that neural networks learn from can provide valuable insights into their inner workings. In my senior thesis, I delve into this concept using a…

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From  Research Princeton Research Day 3 likes 40 plays

Challenging the Party's Lead: Reframing Chinese Law & its Influence Upon American Data Privacy, Zoe San Martin, UG '24 (64FAF405)

Over the last decade, the People’s Republic of China (PRC) and its data privacy regime have drawn national security concern. Adding onto the critique of Chinese authoritarianism, policy…

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From  Research Princeton Research Day 2 likes 38 plays

Quasiclassical Trajectory Calculations of Rate Constants Using an Ab-initio Trained Machine Learning Force Field (aML-MD), Zhiyu Shi, GS (7ACD870A)

Machine learning (ML) provides a great opportunity for the construction of models with improved accuracy for classical molecular dynamics (MD). However, the accuracy of a machine learning trained…

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From  Research Princeton Research Day 1 likes 31 plays

NJ AI Summit - AI for Technology and Engineering

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From  Broadcast Broadcast Center Staff 0 likes 102 plays

SOS27January2024_AElgammal

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JPP25January2024_RGreif

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PLI Symposium 11/28 Jonathan Cohen

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From  Broadcast Broadcast Center Staff 0 likes 8 plays

PLI Symposium 11/28 Gautam Reddy

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From  Broadcast Broadcast Center Staff 0 likes 12 plays